A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations

Shih Ting Fong, Chun Jung Wang, Chuei-Tin Chang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Although diagnostic tests have already been developed in the past for differentiating the originally inseparable fault origins in several simple batch processes, their applicability in realistic systems is still questionable. To address this practical issue, the dynamic behavior of every processing unit involved in a given sequential operation is modeled here by integrating both the generic engineering knowledge and also the ASPEN-generated simulation data into a single automaton. The improved test plans can then be synthesized according to the system model obtained by assembling all such automata. The feasibility of this model building strategy is demonstrated with an example concerning the start-up operation of a flash process.

Original languageEnglish
Title of host publication2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages442-447
Number of pages6
ISBN (Electronic)9781509043972
DOIs
Publication statusPublished - 2017 Jul 18
Event6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 - Taipei, Taiwan
Duration: 2017 May 282017 May 31

Publication series

Name2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017

Other

Other6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017
CountryTaiwan
CityTaipei
Period17-05-2817-05-31

All Science Journal Classification (ASJC) codes

  • Process Chemistry and Technology
  • Industrial and Manufacturing Engineering
  • Control and Optimization
  • Modelling and Simulation

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    Fong, S. T., Wang, C. J., & Chang, C-T. (2017). A hybrid modeling strategy for synthesizing diagnostic tests in sequential material- and energy-transfer operations. In 2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017 (pp. 442-447). [7983821] (2017 6th International Symposium on Advanced Control of Industrial Processes, AdCONIP 2017). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ADCONIP.2017.7983821